Research and application of a combined model based on frequent pattern growth algorithm and multi-objective optimization for solar radiation forecasting

•Simultaneously improve the accuracy and stability significantly of solar radiation forecasting.•Propose a combined model based on several artificial neural networks.•Optimize the weight coefficients of combined model based on non-dominated sorting based multi-objective bat algorithm.•Use statistical and data mining based methods for selecting input variables of combined model.